This workflow corresponds to n8n.io template #2330 — we link there as the canonical source.
This workflow follows the Agent → Airtable recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →
{
"name": "Agent IA Immobilier - Enrichissement Inventaire Propri\u00e9t\u00e9",
"nodes": [
{
"parameters": {},
"id": "192d3e4f-6bb0-4b87-a1fa-e32c9efb49cc",
"name": "When clicking \"Test workflow\"",
"type": "n8n-nodes-base.manualTrigger",
"position": [
600,
540
],
"typeVersion": 1
},
{
"parameters": {
"model": "gpt-4o",
"options": {
"temperature": 0
}
},
"id": "32a7a772-76a6-4614-a6ab-d2b152a5811f",
"name": "OpenAI Chat Model1",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
1440,
760
],
"typeVersion": 1,
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {},
"id": "f90578fa-b886-4653-8ff7-0c91884dc517",
"name": "Execute Workflow Trigger",
"type": "n8n-nodes-base.executeWorkflowTrigger",
"position": [
820,
1180
],
"typeVersion": 1
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "7263764b-8409-4cea-8db3-3278dd7ef9d8",
"name": "=route",
"type": "string",
"value": "={{ $json.route }}"
},
{
"id": "55c3b207-2e98-4137-8413-f72cbff17986",
"name": "query",
"type": "string",
"value": "={{ $json.query }}"
},
{
"id": "6eb873de-3c3a-4135-9dc0-1d441c63647c",
"name": "",
"type": "string",
"value": ""
}
]
},
"options": {}
},
"id": "8f5959eb-45bd-4185-a959-10268827e41d",
"name": "Edit Fields",
"type": "n8n-nodes-base.set",
"position": [
1120,
1180
],
"typeVersion": 3.3
},
{
"parameters": {
"mode": "raw",
"jsonOutput": "{\n \"response\": {\n \"ok\": false,\n \"error\": \"L'outil demand\u00e9 n'a pas \u00e9tait trouv\u00e9 ou le service peut \u00eatre indisponible. Ne ressaye pas.\"\n }\n}\n",
"options": {}
},
"id": "2c7f7274-12e9-4dd3-8ee4-679b408d5430",
"name": "Fallback Response",
"type": "n8n-nodes-base.set",
"position": [
1780,
2080
],
"typeVersion": 3.3
},
{
"parameters": {
"url": "https://serpapi.com/search.json",
"authentication": "predefinedCredentialType",
"nodeCredentialType": "serpApi",
"sendQuery": true,
"queryParameters": {
"parameters": [
{
"name": "engine",
"value": "google_reverse_image"
},
{
"name": "image_url",
"value": "={{ $json.query }}"
}
]
},
"options": {}
},
"id": "09f36f4d-eb88-4d93-a8b3-e9ba66b46b54",
"name": "SERP Google Reverse Image API",
"type": "n8n-nodes-base.httpRequest",
"position": [
1780,
1060
],
"typeVersion": 4.2,
"credentials": {
"serpApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "de99a504-713f-4c78-8679-08139b2def31",
"name": "response",
"type": "string",
"value": "={{ JSON.stringify($json.image_results.map(x => ({ position: x.position, title: x.title, link: x.link, description: x.snippet }))) }}"
}
]
},
"options": {}
},
"id": "8e3a0f38-8663-4f5c-837f-4b9aa21f14fb",
"name": "Reverse Image Search Response",
"type": "n8n-nodes-base.set",
"position": [
2120,
1060
],
"typeVersion": 3.3
},
{
"parameters": {
"name": "reverse_image_search",
"description": "=Appelez cet outil pour effectuer une recherche d'image invers\u00e9e. Les recherches d'images invers\u00e9es renvoient des URL o\u00f9 des produits similaires sont disponibles. R\u00e9cup\u00e9rez les URL renvoy\u00e9es pour obtenir plus d'informations. Cet outil n\u00e9cessite le corps de la requ\u00eate objet suivant :\n\n```\n{\n \"type\": \"object\",\n \"properties\": {\n \"image_url\": { \"type\": \"string\" }\n }\n}\n```\n\nL'attribut image_url doit contenir une URL absolue vers l'image.",
"workflowId": "={{ $workflow.id }}",
"fields": {
"values": [
{
"name": "route",
"stringValue": "serp.google_reverse_image"
}
]
}
},
"id": "0cd2269a-5b1f-4f10-b180-7f9cff9b1102",
"name": "Reverse Image Search Tool",
"type": "@n8n/n8n-nodes-langchain.toolWorkflow",
"position": [
1620,
760
],
"typeVersion": 1.1
},
{
"parameters": {
"method": "POST",
"url": "https://api.firecrawl.dev/v0/scrape",
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth",
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "Content-Type",
"value": "application/json"
}
]
},
"sendBody": true,
"bodyParameters": {
"parameters": [
{
"name": "url",
"value": "={{ $json.query }}"
}
]
},
"options": {}
},
"id": "9825651e-b382-4e0a-97ef-37764cb5be9e",
"name": "Firecrawl Scrape API",
"type": "n8n-nodes-base.httpRequest",
"position": [
1780,
1720
],
"typeVersion": 4.2,
"credentials": {
"httpHeaderAuth": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "7db5c81f-de90-40e1-8086-3f13d40451c7",
"name": "response",
"type": "string",
"value": "={{ $json.data.markdown.substring(0, 3000) }}"
}
]
},
"options": {}
},
"id": "29c65ef4-6350-490a-b8e3-a5c869e656b2",
"name": "Firecrawl Scrape Success Response",
"type": "n8n-nodes-base.set",
"position": [
2120,
1720
],
"typeVersion": 3.3
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "e691d86a-d366-44a2-baa6-3dba42527f6e",
"name": "response",
"type": "string",
"value": "{ error: \"Impossible de scraper le site web a cause d'erreur inconnu. Ne pas r\u00e9essayer.\" }"
}
]
},
"options": {}
},
"id": "229b4008-d8a8-4609-854a-fc244a4ed630",
"name": "Firecrawl scrape Error Response",
"type": "n8n-nodes-base.set",
"position": [
2120,
2080
],
"typeVersion": 3.3
},
{
"parameters": {
"name": "webpage_url_scraper_tool",
"description": "=Appeles cet outil quand tu r\u00e9cuperes le contenu de la page de l'url\n```\n{\n \"type\": \"object\",\n \"properties\": {\n \"url\": { \"type\": \"string\" },\n }\n}\n```\nurl doit \u00eatre un URL absolue.",
"workflowId": "={{ $workflow.id }}",
"fields": {
"values": [
{
"name": "route",
"stringValue": "firecrawl.scrape"
}
]
}
},
"id": "f080069b-e849-45e0-88cf-03707d22c704",
"name": "Firecrawl Web Scaper Tool",
"type": "@n8n/n8n-nodes-langchain.toolWorkflow",
"position": [
1740,
760
],
"typeVersion": 1.1
},
{
"parameters": {
"jsonSchema": "{\n \"type\": \"object\",\n \"properties\": {\n \"title\": { \"type\": \"string\" },\n \"description\": { \"type\": \"string\" },\n \"model\": { \"type\": \"string\" },\n \"material\": { \"type\": \"string\" },\n \"color\": { \"type\": \"string\" },\n \"condition\": { \"type\": \"string\" }\n }\n}"
},
"id": "4eff88bb-bd5e-4d6a-b5e1-8521632c461f",
"name": "Structured Output Parser",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
1920,
760
],
"typeVersion": 1.1
},
{
"parameters": {
"operation": "search",
"base": {
"__rl": true,
"value": "appLkCCluBXRGsvkQ",
"mode": "list",
"cachedResultName": "Exemple Gestion d'inventaire Immo",
"cachedResultUrl": "https://airtable.com/appLkCCluBXRGsvkQ"
},
"table": {
"__rl": true,
"value": "tblYY6p0rRkkgKzxr",
"mode": "list",
"cachedResultName": "Table 1",
"cachedResultUrl": "https://airtable.com/appLkCCluBXRGsvkQ/tblYY6p0rRkkgKzxr"
},
"filterByFormula": "AND({Image}!=\"\",{Status IA}=FALSE())",
"returnAll": false,
"options": {}
},
"id": "8c444314-ed7d-4ca0-b0fa-b6d1e964c698",
"name": "Recuperation des Lignes",
"type": "n8n-nodes-base.airtable",
"position": [
860,
540
],
"typeVersion": 2,
"credentials": {
"airtableTokenApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"resource": "image",
"operation": "analyze",
"modelId": {
"__rl": true,
"value": "gpt-4o-mini",
"mode": "list",
"cachedResultName": "GPT-4O-MINI"
},
"text": "=Concentrez-vous sur le {{ $json.Titre }} dans l'image - nous le d\u00e9signerons comme \"l'objet\". Identifiez les attributs suivants de l'objet. Si vous ne pouvez pas les d\u00e9terminer avec certitude, laissez-les vides et passez \u00e0 l'attribut suivant :\n\nDescription de l'objet.\nLe mod\u00e8le/la marque de l'objet.\nLes mat\u00e9riaux utilis\u00e9s pour la fabrication de l'objet.\nLa/les couleur(s) de l'objet.\nL'\u00e9tat de l'objet. Utilisez l'une des options suivantes : mauvais, bon, excellent.",
"imageUrls": "={{ $json.Image[0].thumbnails.large.url }}",
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.openAi",
"typeVersion": 1.7,
"position": [
1200,
540
],
"id": "f4ce87cd-941e-4263-95c2-0993f7dd67be",
"name": "Analyse de l'image",
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"agent": "openAiFunctionsAgent",
"promptType": "define",
"text": "=syst\u00e8me : Votre r\u00f4le est d'aider un expert en b\u00e2timent \u00e0 effectuer une classification d'objets et une collecte de donn\u00e9es. L'expert prendra des photos de divers objets, et votre mission est d'identifier avec pr\u00e9cision certains attributs des produits comme d\u00e9taill\u00e9 ci-dessous.\n\nL'expert vous a fourni les \u00e9l\u00e9ments suivants :\n\nURL de la photo : {{ $('Recuperation des Lignes').item.json.Image[0].thumbnails.large.url }}.\nDescription de la photo : {{ $json.content }}.\nPour chaque attribut de produit que l'expert n'est pas en mesure de d\u00e9terminer, vous pouvez :\n\n1) utiliser l'outil de recherche invers\u00e9e d'images pour rechercher le produit sur Internet via l'URL de l'image fournie.\n2) utiliser l'outil de scraping web pour lire des pages Internet pouvant \u00eatre pertinentes pour le produit.\n3) Si, apr\u00e8s avoir utilis\u00e9 ces outils, vous n'\u00eates toujours pas en mesure de d\u00e9terminer les attributs requis du produit, laissez les donn\u00e9es vides.\nUtilisez toutes les informations fournies et collect\u00e9es pour extraire les attributs suivants du produit : titre, description, mod\u00e8le, mat\u00e9riau, couleur et \u00e9tat.",
"hasOutputParser": true,
"options": {}
},
"id": "e6c99f71-ccc9-426e-b916-cc38864e3224",
"name": "Agent Analyse Objet",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
1560,
540
],
"typeVersion": 1.5
},
{
"parameters": {
"rules": {
"values": [
{
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 1
},
"conditions": [
{
"operator": {
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.route }}",
"rightValue": "serp.google_reverse_image"
}
],
"combinator": "and"
},
"renameOutput": true,
"outputKey": "serp.google_reverse_image"
},
{
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 1
},
"conditions": [
{
"id": "0a1f54ae-39f1-468d-ba6e-1376d13e4ee8",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.route }}",
"rightValue": "firecrawl.scrape"
}
],
"combinator": "and"
},
"renameOutput": true,
"outputKey": "firecrawl.scrape"
},
{
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 1
},
"conditions": [
{
"id": "b5897437-f58c-4083-8040-892fb5d4cac8",
"leftValue": "={{$json.route}}",
"rightValue": "serp.google_shopping",
"operator": {
"type": "string",
"operation": "equals",
"name": "filter.operator.equals"
}
}
],
"combinator": "and"
},
"renameOutput": true,
"outputKey": "serp.google_shopping"
}
]
},
"options": {
"fallbackOutput": "extra"
}
},
"id": "661b14bd-6511-4f20-981c-2e68a7c34ec5",
"name": "Router",
"type": "n8n-nodes-base.switch",
"position": [
1420,
1160
],
"typeVersion": 3
},
{
"parameters": {
"url": "https://serpapi.com/search.json",
"authentication": "predefinedCredentialType",
"nodeCredentialType": "serpApi",
"sendQuery": true,
"queryParameters": {
"parameters": [
{
"name": "engine",
"value": "google_shopping"
},
{
"name": "q",
"value": "={{ $json.query }}"
},
{
"name": "google_domain",
"value": "google.fr"
},
{
"name": "gl",
"value": "fr"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
1780,
1380
],
"id": "1b3de047-ec2b-421d-bbdd-53613c18bd7d",
"name": "SERP Google Shopping API",
"credentials": {
"serpApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"model": "gpt-4o",
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"typeVersion": 1,
"position": [
2080,
760
],
"id": "1d0cdbf3-572e-4e24-b5a8-85d777b01d20",
"name": "OpenAI Chat Model",
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"schemaType": "manual",
"inputSchema": "{\n \"type\": \"object\",\n \"properties\": {\n \"titre\": { \"type\": \"string\" },\n \"description\": { \"type\": \"string\" },\n \"modele\": { \"type\": \"string\" },\n \"materiel\": { \"type\": \"string\" },\n \"couleur\": { \"type\": \"string\" },\n \"condition\": { \"type\": \"string\" },\n \"estimation_prix\": {\"type\":\"number\"}\n }\n}"
},
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"typeVersion": 1.2,
"position": [
2520,
760
],
"id": "27db4b8f-b078-4c4b-b173-82ccbdf12742",
"name": "Structured Output Parser1"
},
{
"parameters": {
"name": "scrape_google_shopping",
"description": "=Cet outil te permet de r\u00e9cuperer les objets avec la meme description sur Google Shopping. L'outil renvoit des objets avec leurs prix en texte avec des produits qui sont similaires. R\u00e9cup\u00e9rez les prix renvoy\u00e9es pour obtenir plus d'informations. Cet outil n\u00e9cessite le corps de la requ\u00eate objet suivant :\n\n```\n{\n \"type\": \"object\",\n \"properties\": {\n \"phrase_google_shopping\": { \"type\": \"string\" }\n }\n}\n```\n\nl'attribut phrase_google_shopping doit \u00eatre la phrase cr\u00e9er pour google Shopping en fonction des elements fournis par l'expert.",
"workflowId": {
"__rl": true,
"value": "ksodPKKi8keIwnEV",
"mode": "list",
"cachedResultName": "Agent Enrichissement Inventaire Propri\u00e9t\u00e9"
},
"fields": {
"values": [
{
"name": "route",
"stringValue": "serp.google_shopping"
}
]
}
},
"type": "@n8n/n8n-nodes-langchain.toolWorkflow",
"typeVersion": 1.3,
"position": [
2240,
760
],
"id": "29b1a065-7de1-4084-8885-8bd4c4d6417d",
"name": "Google Shopping Tool"
},
{
"parameters": {
"promptType": "define",
"text": "=syst\u00e8me : Votre r\u00f4le est d'aider un expert en b\u00e2timent \u00e0 effectuer une classification d'objets et une collecte de donn\u00e9es. L'expert donnera une description des photos de divers objets, et votre mission est d'identifier avec pr\u00e9cision et de donner une estimation du prix des objets. Tu vas devoir effectuer une recherche sur Google Shopping\n\nL'expert t'a fournis les elements suivants : \n\nTitre : {{ $json.output.output.title }}\nDescription : {{ $json.output.output.description }}\nModele : {{ $json.output.output.model }}\nMateriel : {{ $json.output.output.material }}\nCouleur : {{ $json.output.output.color }}\nCondition : {{ $json.output.output.condition }}\n\n**ETAPES**\n\n1) R\u00e9cuperer les informations fournies par l'expert\n2) Cr\u00e9er une phrase de recherche pour l'objet sur Google Shopping courte\nExemple : \"chaise m\u00e9tal fer forg\u00e9 coussin d\u00e9coratif noire bonne \u00e9tat\"\n3) utiliser l'outil scrape_google_shopping pour effectuer une recherche sur Google Shopping de l'objet et r\u00e9cup\u00e9rer les prix des objets similaires.\n4) Utiliser l'outil Estimation_Prix pour calculer la moyenne tronqu\u00e9e avec les prix des objets r\u00e9cup\u00e9r\u00e9e sur Google Shopping\n\n*CONTRAINTES**\n\nLe prix doit \u00eatre en euros",
"hasOutputParser": true,
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.agent",
"typeVersion": 1.7,
"position": [
2180,
540
],
"id": "a744ff39-ae4b-4f4e-b405-27fbc2afd104",
"name": "Agent IA Estimation Prix"
},
{
"parameters": {
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 1
},
"conditions": [
{
"id": "a15a164f-d0c5-478f-8b27-f3d51746c214",
"operator": {
"type": "boolean",
"operation": "true",
"singleValue": true
},
"leftValue": "={{ $json.success }}",
"rightValue": ""
}
],
"combinator": "and"
},
"options": {}
},
"id": "7f61d60b-b052-4b7c-abfd-9eb8e05a45a2",
"name": "Success ?",
"type": "n8n-nodes-base.if",
"position": [
1940,
1720
],
"typeVersion": 2
},
{
"parameters": {
"content": "### \u26a0\ufe0f Alerte : Adaptation Requise\n\n\n\n\n\n\n\n\n\n\n\n\n\n**Cette \u00e9tape doit \u00eatre modifi\u00e9e !** \nAdaptez-la \u00e0 la structure de **votre base de donn\u00e9es** avant de continuer. \n",
"height": 360,
"width": 220,
"color": 3
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
800,
480
],
"id": "1461772c-ad0d-4c49-a1f1-f4e910b4fa9b",
"name": "Sticky Note"
},
{
"parameters": {
"content": "### \u26a0\ufe0f Alerte : Adaptation Requise\n\n\n\n\n\n\n\n\n\n\n\n\n\n**Cette \u00e9tape doit \u00eatre modifi\u00e9e !** \nAdaptez-la \u00e0 la structure de **votre base de donn\u00e9es** avant de continuer. \n",
"height": 360,
"width": 220,
"color": 3
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
2820,
460
],
"id": "eb1611a3-7ab0-418b-b809-989a9e470f1e",
"name": "Sticky Note1"
},
{
"parameters": {
"operation": "update",
"base": {
"__rl": true,
"value": "appLkCCluBXRGsvkQ",
"mode": "list",
"cachedResultName": "Exemple Gestion d'inventaire Immo",
"cachedResultUrl": "https://airtable.com/appLkCCluBXRGsvkQ"
},
"table": {
"__rl": true,
"value": "tblYY6p0rRkkgKzxr",
"mode": "list",
"cachedResultName": "Table 1",
"cachedResultUrl": "https://airtable.com/appLkCCluBXRGsvkQ/tblYY6p0rRkkgKzxr"
},
"columns": {
"mappingMode": "defineBelow",
"value": {
"id": "={{ $('Recuperation des Lignes').item.json.id }}",
"Condition": "={{ $json.output.condition }}",
"Description": "={{ $json.output.description }}",
"Titre": "={{ $json.output.titre }}",
"Mod\u00e8le": "={{ $json.output.modele }}",
"Materiel": "={{ $json.output.materiel }}",
"Couleur": "={{ $json.output.couleur }}",
"Estimation Prix": "={{ $json.output.estimation_prix }}",
"Status IA": true
},
"matchingColumns": [
"id"
],
"schema": [
{
"id": "id",
"displayName": "id",
"required": false,
"defaultMatch": true,
"display": true,
"type": "string",
"readOnly": true,
"removed": false
},
{
"id": "Titre",
"displayName": "Titre",
"required": false,
"defaultMatch": false,
"canBeUsedToMatch": true,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
},
{
"id": "Image",
"displayName": "Image",
"required": false,
"defaultMatch": false,
"canBeUsedToMatch": true,
"display": true,
"type": "array",
"readOnly": false,
"removed": false
},
{
"id": "Description",
"displayName": "Description",
"required": false,
"defaultMatch": false,
"canBeUsedToMatch": true,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
},
{
"id": "Estimation Prix",
"displayName": "Estimation Prix",
"required": false,
"defaultMatch": false,
"canBeUsedToMatch": true,
"display": true,
"type": "number",
"readOnly": false,
"removed": false
},
{
"id": "Mod\u00e8le",
"displayName": "Mod\u00e8le",
"required": false,
"defaultMatch": false,
"canBeUsedToMatch": true,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
},
{
"id": "Materiel",
"displayName": "Materiel",
"required": false,
"defaultMatch": false,
"canBeUsedToMatch": true,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
},
{
"id": "Couleur",
"displayName": "Couleur",
"required": false,
"defaultMatch": false,
"canBeUsedToMatch": true,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
},
{
"id": "Condition",
"displayName": "Condition",
"required": false,
"defaultMatch": false,
"canBeUsedToMatch": true,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
},
{
"id": "Status IA",
"displayName": "Status IA",
"required": false,
"defaultMatch": false,
"canBeUsedToMatch": true,
"display": true,
"type": "boolean",
"readOnly": false,
"removed": false
}
]
},
"options": {}
},
"id": "bf2459cf-a931-4232-9504-b36b15721194",
"name": "Enrichissement BDD",
"type": "n8n-nodes-base.airtable",
"position": [
2880,
540
],
"typeVersion": 2,
"credentials": {
"airtableTokenApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"content": "# Agent Estimation Prix \ud83d\udcb0\n\n**Fonctionnalit\u00e9s principales :**\n- **Analyse des informations de l'image** : Utilisation des donn\u00e9es extraites pour formuler une recherche cibl\u00e9e.\n- **G\u00e9n\u00e9ration automatique** : Cr\u00e9ation d'une requ\u00eate sur **Google Shopping (FR)**.\n- **Estimation de prix** : Recherche d'objets similaires pour fournir une estimation pr\u00e9cise.\n\n",
"height": 620,
"width": 620,
"color": 7
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
2040,
320
],
"id": "6754211b-e0fc-49b8-8dbe-597fff16aa6b",
"name": "Sticky Note2"
},
{
"parameters": {
"content": "# \ud83c\udf10 Agent Analyse Objet\n\n**Fonctionnalit\u00e9s principales :**\n- **Analyse de l'image et de ses m\u00e9tadonn\u00e9es** : Extraction des informations pertinentes fournies.\n- **Recherche invers\u00e9e** : Identification des donn\u00e9es associ\u00e9es \u00e0 l'image.\n- **Scraping avanc\u00e9** : Exploration des pages trouv\u00e9es pour enrichir les informations sur l'objet.\n",
"height": 620,
"width": 620,
"color": 7
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
1420,
320
],
"id": "90053e9d-8a02-45d3-9449-69424fdb19af",
"name": "Sticky Note4"
},
{
"parameters": {
"content": "## Analyse d'Image d'Objet\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n**Avec le mod\u00e8le OpenAI il fournit :**\n- **Titre**\n- **Description**\n- **Mati\u00e8re** \n- **Mod\u00e8le** \n- **Couleur** \n- **Condition** \n",
"height": 460,
"width": 300,
"color": 5
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
1100,
400
],
"id": "ba667d39-ddee-4147-939a-b9e8883c7457",
"name": "Sticky Note3"
},
{
"parameters": {
"content": "### Permet de r\u00e9cuperer la donn\u00e9e route et query",
"height": 280,
"width": 220
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
1060,
1080
],
"id": "74add31d-8caa-4bfc-a775-80063a47decc",
"name": "Sticky Note5"
},
{
"parameters": {
"content": "### \ud83d\uded2 Estimation de Prix\nRecherche sur **Google Shopping (FR)** pour r\u00e9cup\u00e9rer les prix d'objets similaires et estimer leur valeur.",
"height": 320,
"width": 880,
"color": 4
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
1720,
1300
],
"id": "369fe387-59ec-42fd-9082-f2167e716f5e",
"name": "Sticky Note6"
},
{
"parameters": {
"content": "### \ud83d\udd04 Recherche Invers\u00e9e\nEffectue une recherche d'URLs \u00e0 partir de l'image fournie dans l'inventaire.",
"height": 280,
"width": 600,
"color": 4
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
1720,
980
],
"id": "3c688346-092e-4fba-9179-b4cbcff57e31",
"name": "Sticky Note7"
},
{
"parameters": {
"content": "### \u26a0\ufe0f Gestion des Erreurs\nG\u00e8re les erreurs pour assurer le bon fonctionnement du workflow.",
"height": 300,
"width": 600,
"color": 3
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
1720,
1980
],
"id": "5111017c-c562-45df-92e8-0b58839815ad",
"name": "Sticky Note8"
},
{
"parameters": {
"content": "### \ud83d\udd78\ufe0f Scraping des URLs\nExplore les URLs pertinentes trouv\u00e9es via la recherche invers\u00e9e pour extraire des informations utiles.\n",
"height": 300,
"width": 600,
"color": 4
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
1720,
1620
],
"id": "da05eca1-f9aa-46d9-b035-fd91957480bc",
"name": "Sticky Note9"
},
{
"parameters": {
"name": "Calculator",
"description": "=Cet outil te permet d'estimer le prix de l'objet en fonction des prix r\u00e9cuper\u00e9es sur Google Shopping. Il renvoie la moyenne tronqu\u00e9 pour estimer le prix le plus pr\u00e9cis. Cet outil n\u00e9cessite le corps de la requ\u00eate objet suivant :\n\n```\n{\n \"type\": \"object\",\n \"properties\": {\n \"liste_prix\": {\n \"type\": \"array\",\n \"items\": {\n \"type\": \"number\"\n }\n}\n }\n}\n```\n\nl'attribut liste_prix doit \u00eatre une liste contenant tous le prix des objets r\u00e9cuperer de Google Shopping.\n",
"jsCode": "function process(query) {\n const prices = query.listes_prix;\n \n if (!prices || prices.length === 0) {\n return null;\n }\n \n // Trier les prix\n prices.sort((a, b) => a - b);\n \n // Fonction pour calculer la m\u00e9diane d'un tableau tri\u00e9\n function median(sortedArr) {\n const mid = Math.floor(sortedArr.length / 2);\n if (sortedArr.length % 2 === 0) {\n return (sortedArr[mid - 1] + sortedArr[mid]) / 2;\n } else {\n return sortedArr[mid];\n }\n }\n \n // Calculer la m\u00e9diane pour tout le tableau\n const overallMedian = median(prices);\n \n // S\u00e9parer le tableau en deux moiti\u00e9s pour calculer Q1 et Q3\n const midIndex = Math.floor(prices.length / 2);\n const lowerHalf = prices.slice(0, midIndex);\n const upperHalf = (prices.length % 2 === 0) \n ? prices.slice(midIndex) \n : prices.slice(midIndex + 1);\n \n const Q1 = median(lowerHalf);\n const Q3 = median(upperHalf);\n const IQR = Q3 - Q1;\n \n // D\u00e9finir les bornes pour les outliers\n const lowerBound = Q1 - 1.1 * IQR;\n const upperBound = Q3 + 1.1 * IQR;\n \n // Filtrer les prix hors bornes (outliers)\n const filteredPrices = prices.filter(price => price >= lowerBound && price <= upperBound);\n \n // Si aucun prix apr\u00e8s filtrage, retourner la m\u00e9diane g\u00e9n\u00e9rale\n if (filteredPrices.length === 0) {\n return overallMedian;\n }\n \n // Calculer la moyenne des prix filtr\u00e9s\n const sum = filteredPrices.reduce((acc, price) => acc + price, 0);\n const average = sum / filteredPrices.length;\n \n return average;\n}\n\nreturn process(query); // Affiche la moyenne apr\u00e8s exclusion des outliers\n",
"specifyInputSchema": true,
"jsonSchemaExample": "{\n\t\"listes_prix\": [199.22,102,47.1]\n}"
},
"type": "@n8n/n8n-nodes-langchain.toolCode",
"typeVersion": 1.1,
"position": [
2380,
760
],
"id": "557d3104-2b1d-4235-a9ca-6c79104b6959",
"name": "Estimation_Prix"
},
{
"parameters": {
"promptType": "define",
"text": "=Je veux que tu gardes ce json au meme format mais en enlevant tous les lots d'objets ou toute les donn\u00e9es aberrantes.\n\n{{ JSON.stringify($json.shopping_results.map(x => ({title: x.title, price: x.price})))}}",
"hasOutputParser": true
},
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"typeVersion": 1.5,
"position": [
1980,
1380
],
"id": "bba3b3f9-c3d5-42ff-b212-fb1c2a5771f2",
"name": "Basic LLM Chain"
},
{
"parameters": {
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"typeVersion": 1,
"position": [
1960,
1520
],
"id": "9a287081-5c70-45c4-b61e-d3c6ea345e05",
"name": "OpenAI Chat Model2",
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "d9af1b81-0804-464f-a6e3-ef33572f3a9b",
"name": "reponse",
"value": "={{ JSON.stringify($json.output.google_shopping_list_cleared) }}",
"type": "string"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
2360,
1380
],
"id": "6e3096ff-78aa-4ed3-81c6-dfcb2be24ea6",
"name": "Google Shopping Reponse1"
},
{
"parameters": {
"schemaType": "manual",
"inputSchema": "{\n\t\"type\": \"object\",\n\t\"properties\": {\n\t\t\"google_shopping_list_cleared\": {\n\t\t\t\"type\": \"array\",\n\t\t\t\"items\": {\n\t\t\t\t\"type\": \"object\"\n\t\t\t}\n\t\t}\n\t}\n}"
},
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"typeVersion": 1.2,
"position": [
2220,
1520
],
"id": "186f2c1b-5419-4d77-b920-e82d115eefa0",
"name": "Structured Output Parser2"
}
],
"connections": {
"Edit Fields": {
"main": [
[
{
"node": "Router",
"type": "main",
"index": 0
}
]
]
},
"OpenAI Chat Model1": {
"ai_languageModel": [
[
{
"node": "Agent Analyse Objet",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Firecrawl Scrape API": {
"main": [
[
{
"node": "Success ?",
"type": "main",
"index": 0
}
]
]
},
"Execute Workflow Trigger": {
"main": [
[
{
"node": "Edit Fields",
"type": "main",
"index": 0
}
]
]
},
"Structured Output Parser": {
"ai_outputParser": [
[
{
"node": "Agent Analyse Objet",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"Firecrawl Web Scaper Tool": {
"ai_tool": [
[
{
"node": "Agent Analyse Objet",
"type": "ai_tool",
"index": 0
}
]
]
},
"Reverse Image Search Tool": {
"ai_tool": [
[
{
"node": "Agent Analyse Objet",
"type": "ai_tool",
"index": 0
}
]
]
},
"SERP Google Reverse Image API": {
"main": [
[
{
"node": "Reverse Image Search Response",
"type": "main",
"index": 0
}
]
]
},
"When clicking \"Test workflow\"": {
"main": [
[
{
"node": "Recuperation des Lignes",
"type": "main",
"index": 0
}
]
]
},
"Recuperation des Lignes": {
"main": [
[
{
"node": "Analyse de l'image",
"type": "main",
"index": 0
}
]
]
},
"Analyse de l'image": {
"main": [
[
{
"node": "Agent Analyse Objet",
"type": "main",
"index": 0
}
]
]
},
"Agent Analyse Objet": {
"main": [
[
{
"node": "Agent IA Estimation Prix",
"type": "main",
"index": 0
}
]
]
},
"Router": {
"main": [
[
{
"node": "SERP Google Reverse Image API",
"type": "main",
"index": 0
}
],
[
{
"node": "Firecrawl Scrape API",
"type": "main",
"index": 0
}
],
[
{
"node": "SERP Google Shopping API",
"type": "main",
"index": 0
}
],
[
{
"node": "Fallback Response",
"type": "main",
"index": 0
}
]
]
},
"OpenAI Chat Model": {
"ai_languageModel": [
[
{
"node": "Agent IA Estimation Prix",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Structured Output Parser1": {
"ai_outputParser": [
[
{
"node": "Agent IA Estimation Prix",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"SERP Google Shopping API": {
"main": [
[
{
"node": "Basic LLM Chain",
"type": "main",
"index": 0
}
]
]
},
"Google Shopping Tool": {
"ai_tool": [
[
{
"node": "Agent IA Estimation Prix",
"type": "ai_tool",
"index": 0
}
]
]
},
"Agent IA Estimation Prix": {
"main": [
[
{
"node": "Enrichissement BDD",
"type": "main",
"index": 0
}
]
]
},
"Success ?": {
"main": [
[
{
"node": "Firecrawl Scrape Success Response",
"type": "main",
"index": 0
}
],
[
{
"node": "Firecrawl scrape Error Response",
"type": "main",
"index": 0
}
]
]
},
"Estimation_Prix": {
"ai_tool": [
[
{
"node": "Agent IA Estimation Prix",
"type": "ai_tool",
"index": 0
}
]
]
},
"Basic LLM Chain": {
"main": [
[
{
"node": "Google Shopping Reponse1",
"type": "main",
"index": 0
}
]
]
},
"OpenAI Chat Model2": {
"ai_languageModel": [
[
{
"node": "Basic LLM Chain",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Structured Output Parser2": {
"ai_outputParser": [
[
{
"node": "Basic LLM Chain",
"type": "ai_outputParser",
"index": 0
}
]
]
}
},
"active": false,
"settings": {},
"versionId": "35ba2acb-91c1-40b7-a439-f848ce072241",
"meta": {
"templateId": "2330"
},
"id": "ksodPKKi8keIwnEV",
"tags": []
}
Credentials you'll need
Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.
airtableTokenApihttpHeaderAuthopenAiApiserpApi
Pro
For the full experience including quality scoring and batch install features for each workflow upgrade to Pro
About this workflow
Agent IA Immobilier - Enrichissement Inventaire Propriété. Uses lmChatOpenAi, executeWorkflowTrigger, httpRequest, toolWorkflow. Event-driven trigger; 39 nodes.
Source: https://github.com/Stirito/N8N_Workflow_Template/blob/3a287db93553c1da2bac6454d4792cdc8bdbc4d1/Agent_IA_Immobilier___Enrichissement_Inventaire_Propri_t_.json — original creator credit. Request a take-down →
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